VAST Data Selected By Agoda For Big Data Applications

VAST-Data-selected-by-Agoda-for-big-data-applications

Israeli-America storage software company VAST Data announced that the digital travel platform Agoda selected VAST’s Universal Storage as the data science backbone for its big data and machine learning environment.

According to the company, the inherent high-performance and low-latency benefits of Universal Storage will help Agoda deliver more insights and perform more queries in less time for their real-time analytics, supporting thousands of users that are simultaneously searching the website to find the best deals on hotels, flights and other travel reservations.

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“Customer information and travel supplier data are our most vital assets and we need a data science platform that can easily and cost-effectively scale with our growth,” said Idan Zalzberg, Chief Data Officer at Agoda. “To help provide our customers with the best value for their travel needs, we require a high-performance big data solution to run our machine learning algorithms, that’s also infinitely scalable to meet our future needs.”

Universal Storage will allow Agoda to build a cost-effective, private cloud computing environment for Apache Spark and Apache Impala processing that enjoys real-time access to VAST’s S3-compatible fast object storage. Universal Storage disaggregates the compute and storage layers and uses all-flash to accelerate access to shared storage in real-time.

“Today’s travelers expect a simple and intuitive travel booking experience. Travel sites are hyper-competitive, and if one booking platform can’t produce the right information to the right people at the right time, those people will quickly move along to the next,” said VAST Co-Founder Jeff Denworth. “Agoda is optimizing the customer experience at every layer–from the mobile experience to the data infrastructure foundation. We’re proud to see Universal Storage be selected as that infrastructure foundation that can scale-with Agoda’s success for the next decade and beyond.”